Principal Data Solutions Architect

MITRE Corporation - Bedford, MA

Full-time - Senior

Bedford, MA

Professional, Scientific, and Technical Services

About the position

The Principal Data Solutions Architect at MITRE will lead teams in developing innovative data solutions to address complex challenges in various domains such as cybersecurity, healthcare, and defense. This role involves designing and building data systems, guiding data transformations, and ensuring data quality to support decision-making processes. The position requires a strong technical background and leadership skills to manage high-velocity development teams and engage with stakeholders to define data requirements.

Responsibilities

• Leading teams of high quality, high velocity developments to sponsor challenges and deliverables.
• Designing and building prototypes for ingesting, curating, and analyzing data at scale.
• Collecting and preparing data for use by data scientists and analysts.
• Leading stakeholder interviews to determine data requirements and leading ensuing data solutions.
• Guiding state-of-the-art data transformations to meet the requirements for system interfaces and data integration projects.
• Performing data profiling to identify quality gaps and determine if data is fit for use for its intended purpose.
• Researching and evaluating data engineering tools and technologies.

Requirements

• Typically requires a minimum of 10 years of related experience with a bachelor's degree; or 8 years and a master's degree; or a PhD with 6 years' experience; or equivalent combination of related education and work.
• Top Secret clearance is required.
• Experience leading technical teams in data-oriented solutions.
• Proven experience identifying and harnessing business opportunities and securing needed resources.
• Strong developer skills using SQL and Python.
• Proficiency in other modern programming languages such as R, Scala, C++, Java, C#, and JavaScript.
• Hands-on experience with one or more database technologies (e.g., PostgreSQL, Oracle, MySQL, SQL Server, DB2, MongoDB, Neo4j, Couchbase, Cassandra).
• Excellent written and verbal communications skills with ability to describe and present complex technical concepts in relatable terms.
• Strong knowledge of ETL/ELT processes, tools, and frameworks.
• Experience with large scale data architectures.
• Experience building conceptual, logical, and physical data models.
• Knowledge of cloud platforms and technologies such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Nice-to-haves

• Master's degree or PhD in computer science, data science, systems engineering, software engineering, engineering, or information systems.
• Proven experience in trusted advisor roles to senior internal/external leaders.
• Repeated experience shaping solutions and building/leading technical teams for complex business objectives.
• Experience migrating legacy data systems to new/modernized platforms.
• Hands-on experience with data flow and pipeline frameworks such as Kafka, NiFi, Spark, Airflow, and Hadoop.
• Familiarity with microservice architectures, data warehousing, data fabric, data lakes, and data mesh.
• Understanding the use of data in AI/ML and LLM.
• Knowledge and experience across data management domains, including data science, data governance, metadata management, data quality, business intelligence, data security & privacy, and data strategy.
• Experience with artificial intelligence, large language models, machine learning, and natural language processing techniques.

Benefits

• Competitive benefits
• Exceptional professional development opportunities
• Culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth